Generative agents for movie recommendation simulations using LLMs and the MovieLens dataset.

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About Agent4Rec

Agent4Rec simulates 1,000 generative agents to model diverse social traits and preferences in movie recommendations. It uses the MovieLens-1M dataset to explore agent behavior in personalized recommendation environments, offering insights into agent actions like rating, watching, and interacting with recommendations. The system aids in studying generative agent applications in recommendation tasks and behavioral analysis.

Agentic

Developer
LehengTHU
Added
158 days ago

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